from sklearn.utils import shuffle
import numpy as np
import pandas as pd

dataset1 = np.loadtxt('./data_m8.csv', delimiter=',')
dataset2 = np.loadtxt('./data_m9.csv', delimiter=',')
dataset3 = np.loadtxt('./data_hv.csv', delimiter=',')
dataset = np.vstack([dataset1, dataset2, dataset3])
dataset = shuffle(dataset)
pd_data = pd.DataFrame(dataset)
pd_data.to_csv('./data.csv', header=False, index=False)
